Skip to content
DraconiticResearch
Search Sources API
190,335 studies31 sourcesUpdated 21 min ago
Peer-reviewedCC BY 4.0Frontiers in Pharmacology

Network toxicology, molecular docking and in vitro validation reveal the molecular mechanisms of bisphenol A-induced MASLD

Abstract

BackgroundBisphenol A (BPA), a ubiquitous endocrine-disrupting chemical, is associated with metabolic dysfunction-associated steatotic liver disease (MASLD), yet its underlying molecular mechanisms remain elusive.MethodsThis study combined network toxicology and molecular docking to explore BPA-induced hepatotoxicity targets and pathways in MASLD. BPA and MASLD-related targets were screened from multiple databases, with 886 and 3109 targets identified respectively; their intersection targets were analyzed via protein-protein interaction (PPI) network, and core targets were screened using Cytoscape Molecular Complex Detection (MCODE). The GSE163211 dataset was used for external validation of core genes, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and molecular docking verified the binding affinity between BPA and key core targets.ResultsWe obtained 451 intersection targets, with 16 core targets (e.g., JUN, IL6, TNF, TLR4) identified; Gene Expression Omnibus (GEO) validation confirmed significantly upregulated expression of several core targets in MASLD samples (P < 0.05). GO enrichment revealed involvement in transcriptional regulation, protein binding and intracellular structural processes, while KEGG enrichment highlighted the PI3K-Akt, FoxO and cellular senescence pathways. Molecular docking showed BPA bound strongly to six key core targets with binding energies ranging from -5.3 to -8.2 kcal/mol.ConclusionThis study identifies the core targets and signaling pathways mediating BPA-induced MASLD, establishing an integrated computational framework for risk assessment of environmental hepatotoxicants and providing a theoretical basis for BPA regulatory policy formulation and MASLD mechanistic research.

Related

  1. Molecular Mechanisms of 6PPD and 6PPD-Q Toxicity in Neurodegenerative Diseases: A Network Toxicology and Experimental Validation Study
    Ze Li, Yuyang Luo, Siyi Wang +2
    ToxicsPeer-reviewedCC BY15 citedPhysiologyOpenAlex
  2. Network toxicology, molecular docking and molecular dynamics simulations for bisphenol A neurotoxicity in depression pathogenesis
    Jinlian Zhang, Yuanhao Ma, Miguo Lu +7
    PLOS OnePeer-reviewedCC BY 4.0Full textEnvironmental chemistryTheoretical & computational chemistryPLOS
  3. Integrated Network Toxicology, Molecular Dynamics Simulation and In Vitro Assays Identify EGFR, ESR1 and IGF1 as Core Mediators of Bisphenol S-Exacerbated Polycystic Ovary Syndrome
    Juan Liu, Guolin Ye, Xin Liu +2
    International Journal of Molecular SciencesPeer-reviewedCC BY 4.0Full textPharmacology & toxicologyCrossrefEurope PMC
  4. Revealing the toxicological effects and mechanisms of tris(1-chloro-2-propyl) phosphate exposure on osteoarthritis based on network toxicology, machine learning, and molecular docking
    Bin Yang, Xiangjin Wang, Li Zhuo +2
    MedicinePeer-reviewedCC BY-NCFull textGeneral medicineEurope PMC
  5. Investigating potential molecular mechanisms linking 6PPD-quinone exposure to Intervertebral Disc Degeneration: A network toxicology, molecular docking, and molecular dynamics simulation study
    Bin Yang, Xiangjin Wang, Li Zhuo +2
    PLOS OnePeer-reviewedCC BYFull textCell biologyImmunologyPLOSEurope PMC
BibTeX
@article{li2026network,
  title = {{Network toxicology, molecular docking and in vitro validation reveal the molecular mechanisms of bisphenol A-induced MASLD}},
  author = {Yue Li and Zhuo Xiong and Yundi Zhang and Chengyong Tang},
  journal = {Frontiers in Pharmacology},
  year = {2026},
  month = oct,
  doi = {10.3389/fphar.2026.1905217},
  url = {https://www.frontiersin.org/articles/10.3389/fphar.2026.1905217},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Network toxicology, molecular docking and in vitro validation reveal the molecular mechanisms of bisphenol A-induced MASLD
AU  - Yue Li
AU  - Zhuo Xiong
AU  - Yundi Zhang
AU  - Chengyong Tang
PY  - 2026
DA  - 2026/10/30
JO  - Frontiers in Pharmacology
DO  - 10.3389/fphar.2026.1905217
UR  - https://www.frontiersin.org/articles/10.3389/fphar.2026.1905217
AB  - BackgroundBisphenol A (BPA), a ubiquitous endocrine-disrupting chemical, is associated with metabolic dysfunction-associated steatotic liver disease (MASLD), yet its underlying molecular mechanisms remain elusive.MethodsThis study combined network toxicology and molecular docking to explore BPA-induced hepatotoxicity targets and pathways in MASLD. BPA and MASLD-related targets were screened from multiple databases, with 886 and 3109 targets identified respectively; their intersection targets were analyzed via protein-protein interaction (PPI) network, and core targets were screened using Cytoscape Molecular Complex Detection (MCODE). The GSE163211 dataset was used for external validation of core genes, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and molecular docking verified the binding affinity between BPA and key core targets.ResultsWe obtained 451 intersection targets, with 16 core targets (e.g., JUN, IL6, TNF, TLR4) identified; Gene Expression Omnibus (GEO) validation confirmed significantly upregulated expression of several core targets in MASLD samples (P < 0.05). GO enrichment revealed involvement in transcriptional regulation, protein binding and intracellular structural processes, while KEGG enrichment highlighted the PI3K-Akt, FoxO and cellular senescence pathways. Molecular docking showed BPA bound strongly to six key core targets with binding energies ranging from -5.3 to -8.2 kcal/mol.ConclusionThis study identifies the core targets and signaling pathways mediating BPA-induced MASLD, establishing an integrated computational framework for risk assessment of environmental hepatotoxicants and providing a theoretical basis for BPA regulatory policy formulation and MASLD mechanistic research.
SN  - 1663-9812
ER  -